2018
DOI: 10.1002/mpr.1753
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A data mining and item response mixture modeling method to retrospectively measure Diagnostic and Statistical Manual of Mental Disorders‐5 attention deficit hyperactivity disorder in the 1970 British Cohort Study

Abstract: Objective To facilitate future outcome studies, we aimed to develop a robust and replicable method for estimating a categorical and dimensional measure of Diagnostic and Statistical Manual of Mental Disorders‐5 (DSM‐5) attention deficit hyperactivity disorder (ADHD) in the 1970 British Cohort Study (BCS70). Method Following a data mining framework, we mapped DSM‐5 ADHD symptoms to age 10 BCS70 data (N = 11,426) and derived a 16‐item scale (α = 0.85). Mapping was validated by an expert panel. A categorical subg… Show more

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“…An assumption of unidimensional IRT is that the underlying trait distribution is normal (despite IRT being robust to some level of non‐normality: Cotton & Baker, 2019). Despite this, PV estimates were still investigated to ensure they possessed characteristics suggesting normality.…”
mentioning
confidence: 99%
“…An assumption of unidimensional IRT is that the underlying trait distribution is normal (despite IRT being robust to some level of non‐normality: Cotton & Baker, 2019). Despite this, PV estimates were still investigated to ensure they possessed characteristics suggesting normality.…”
mentioning
confidence: 99%